Article

Protein Fitness Prediction is Impacted by the Interplay of Language Models, Ensemble Learning, and Sampling Methods

2023-02-10

Abstract excerpt

Advances in machine learning (ML) and the availability of protein sequences via high-throughput sequencing techniques have transformed our ability to design novel diagnostic and therapeutic proteins. ML allows protein engineers to capture complex trends hidden within protein sequences that would otherwise be difficult to identify in the context of the immense and rugged protein fitness landscape. Despite this pote...

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Literature Corpus work: 2bcf2d62-3d0f-5d45-8fda-feee45d7225d
DOI: 10.1101/2023.02.09.527362

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